60 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" research jobs at The Ohio State University
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The Ohio State University | 2 months ago
skills using modern languages such as Python or C++. Expertise in statistical analysis, machine learning, and data-driven modeling is highly desirable. Appointment is contingent on the university’s
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The Ohio State University | 2 months ago
analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet
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sustainable agricultural production. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and
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( https://proxy.qualtrics.com/proxy/?url=https%3A%2F%2Fu.osu.edu%2Fvegprolab%2F&token=lDe1D7S76H0PhqCO2XJnyO8uKdYc%2F%2FMx3XEB%2BRHy03E%3D ) invites you or someone you recommend to contact us about
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writing. For more information about Dr. Dyar’s research, please visit: https://nursing.osu.edu/faculty-and-staff/christina-dyar and https://www.researchgate.net/profile/Christina-Dyar or search NIH
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, including where and why methods fail. Two further areas are also within scope, and we expect the candidate to contribute to at least one: 3D shape analysis and geometric machine learning. Learning on
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chemical or biological sensing; Familiarity with signal processing, embedded systems, or machine learning; Experience with hardware–software co-design and system integration; Prior experience mentoring
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(https://reporter.nih.gov/ ) for R01AA032464 to find additional details or visit the College of Nursing page (https://nursing.osu.edu/faculty-and-staff/ethan-morgan). Additional Information: Minimum
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Researcher Department: FAES | Entomology This Postdoctoral researcher will contribute to an NIH-funded study (R01AI189572, https://reporter.nih.gov/search/wk0CzbUpwE69AxJ0uTlPBQ/project-details/11296317
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, general areas of control systems, reinforcement learning, machine learning, simulation, sensing, and estimation technologies; develops procedures for experimental data analysis, recognizes and promotes